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# Enterprise Application Engineer (Enterprise Security - Security AI)

- **Company:** Salesforce Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $148,500.0 - $260,100.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software System Penetration Testing, Code Review, Open Web Application Security, PCI Data Security Standards, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Software Security, Mitre Att&ck, Agentic-AI, Build Tools
- **Published:** October 8, 2026
- **Apply:** https://www.themuse.com/jobs/salesforce/enterprise-application-engineer-enterprise-security-security-ai

## About the Role

* 5+ years of experience in a security engineering role including Application Security and Pen testing experience (Senior/SMTS)
 * 8+ years of experience in a security engineering role including Application Security and Pen testing experience (Lead/LMTS)
 * Develop automated processes and support improvement of tooling to identify and solve problems at scale
 * Experience with large language models (LLMs) and agentic systems - building, evaluating, or securing them
 * Experience with AI security attack surfaces including prompt injection, data exfiltration, privilege escalation in agents, and model supply chain risks
 * Understanding of RAG architectures, classifier models, and how retrieval and generation pipelines work
 * Excellent interpersonal, collaboration, and critical-thinking skills
 * A related technical degree required, * Familiarity with standard security frameworks such as ISO 27001, SOC 2, PCI DSS, OWASP Top 10, CWE Top 25, and MITRE ATT&CK
 * Relevant BA/BS degree and/or certifications such as CRISC, CISSP, CCIE, CISM, CISA, or CCSK
 * Experience defining and communicating security remediation tasks to project and data owners

## Description

* Conduct in-depth security assessments of emerging AI technologies - including architecture and design reviews, code reviews, and penetration tests - while providing guidance on remediation and feature enhancements
 * Threat model common attacker methods to develop mitigation techniques that balance security requirements with functional needs
 * Collaborate with engineering teams and business partners to drive solutions through a secure development lifecycle, and define technical security standards and guidelines
 * Research new technologies, emerging threats, and vulnerabilities to support strategic planning and process improvements
 * Build tools to enable secure use of AI at scale